{"id":"https://openalex.org/W4407899661","doi":"https://doi.org/10.1007/s10462-025-11139-4","title":"A three-way decision model for multi-granular support intuitionistic fuzzy rough sets based on overlap functions","display_name":"A three-way decision model for multi-granular support intuitionistic fuzzy rough sets based on overlap functions","publication_year":2025,"publication_date":"2025-02-24","ids":{"openalex":"https://openalex.org/W4407899661","doi":"https://doi.org/10.1007/s10462-025-11139-4"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-025-11139-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11139-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11139-4.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11139-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022853340","display_name":"Peng Yu","orcid":"https://orcid.org/0000-0002-8907-2451"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Yu","raw_affiliation_strings":["School of Mathematics & Data Science, Shaanxi University of Science & Technology, Xi\u2019an, 710021, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics & Data Science, Shaanxi University of Science & Technology, Xi\u2019an, 710021, Shaanxi, China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiyue Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyue Zhao","raw_affiliation_strings":["School of Mathematics & Data Science, Shaanxi University of Science & Technology, Xi\u2019an, 710021, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics & Data Science, Shaanxi University of Science & Technology, Xi\u2019an, 710021, Shaanxi, China","institution_ids":["https://openalex.org/I51622183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022853340"],"corresponding_institution_ids":["https://openalex.org/I51622183"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":6.1769,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.96540701,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"58","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7278517484664917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4545402526855469},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.45286768674850464},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.4389406740665436},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39293017983436584},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3230653405189514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278517484664917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4545402526855469},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.45286768674850464},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4389406740665436},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39293017983436584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3230653405189514}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-025-11139-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11139-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11139-4.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-025-11139-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11139-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11139-4.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3638775717","display_name":null,"funder_award_id":"12171294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407899661.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1829951598","https://openalex.org/W1980564456","https://openalex.org/W1981107087","https://openalex.org/W1982675899","https://openalex.org/W1990116832","https://openalex.org/W1998690720","https://openalex.org/W2034998024","https://openalex.org/W2070022339","https://openalex.org/W2074145995","https://openalex.org/W2089923511","https://openalex.org/W2314966097","https://openalex.org/W2464662809","https://openalex.org/W2519715111","https://openalex.org/W2586356223","https://openalex.org/W2741997989","https://openalex.org/W2784166218","https://openalex.org/W2885083530","https://openalex.org/W2889210423","https://openalex.org/W2896017664","https://openalex.org/W2900620356","https://openalex.org/W2900763954","https://openalex.org/W2991410898","https://openalex.org/W2999963010","https://openalex.org/W3004827468","https://openalex.org/W3033372010","https://openalex.org/W3040415365","https://openalex.org/W3128742773","https://openalex.org/W3203008063","https://openalex.org/W3214418856","https://openalex.org/W4210396303","https://openalex.org/W4210471401","https://openalex.org/W4242872809","https://openalex.org/W4310731426","https://openalex.org/W4391486773","https://openalex.org/W4392699481","https://openalex.org/W4403799932","https://openalex.org/W4404187821","https://openalex.org/W4404690871"],"related_works":["https://openalex.org/W2385082087","https://openalex.org/W2978631811","https://openalex.org/W2381555525","https://openalex.org/W2484240834","https://openalex.org/W327654139","https://openalex.org/W2389689794","https://openalex.org/W1970726137","https://openalex.org/W2766401420","https://openalex.org/W2367964367","https://openalex.org/W2004353068"],"abstract_inverted_index":{"Three-way":[0],"decision-making":[1,67,89,93],"provides":[2],"an":[3],"effective":[4],"framework":[5],"for":[6,59,111],"addressing":[7,112],"uncertainty,":[8],"aligning":[9],"closely":[10],"with":[11],"human":[12],"cognitive":[13],"decision":[14,22,51,85],"patterns.":[15],"This":[16,98],"paper":[17],"proposes":[18],"a":[19,65],"novel":[20],"three-way":[21],"model":[23,40,82],"based":[24],"on":[25],"multi-granular":[26],"support":[27],"intuitionistic":[28],"fuzzy":[29],"rough":[30,103],"sets,":[31],"integrating":[32],"n":[33],"-dimensional":[34],"overlap":[35],"and":[36,43,46,53,56,71,91],"grouping":[37],"functions.":[38],"The":[39,76],"constructs":[41],"optimistic":[42],"pessimistic":[44],"upper":[45],"lower":[47],"approximations":[48],"to":[49,73],"optimize":[50],"rules":[52],"introduces":[54],"score":[55],"precision":[57],"functions":[58],"ranking.":[60],"To":[61],"validate":[62],"the":[63,80],"model,":[64],"consumer":[66],"algorithm":[68],"was":[69],"developed":[70],"applied":[72],"empirical":[74],"data.":[75],"results":[77],"demonstrate":[78],"that":[79],"proposed":[81],"effectively":[83],"narrows":[84],"boundary":[86],"regions,":[87],"enhances":[88],"precision,":[90],"supports":[92],"in":[94,115],"complex":[95],"multi-attribute":[96],"scenarios.":[97],"study":[99],"not":[100],"only":[101],"advances":[102],"set":[104],"theory":[105],"but":[106],"also":[107],"offers":[108],"practical":[109],"tools":[110],"real-world":[113],"uncertainty":[114],"decision-making.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
